Population data
2, 4, 4, 4, 5, 5, 7, 9Population SD = 2
Use this free standard deviation calculator to paste a data set, choose sample or population mode, and see standard deviation, variance, mean, count, steps, copy, and tab-only history.

Recent answers will appear here.
Separate values with commas, spaces, or new lines.
Use sample standard deviation when your data estimates a larger population.
Measure how far data values usually sit from the mean.
Compare sample standard deviation with population standard deviation from the same list.
Check variance, mean, count, and formula steps before copying a statistics answer.
Test classroom data, exam scores, survey numbers, measurements, or lab values.
Spot when one outlier is making the spread much larger than expected.
Keep recent answers in the current browser tab while comparing example data sets.
Population SD = 2
Sample SD = 2.1380899353
Sample SD = 3.9749213829
Mean = 19.1666666667
Standard deviation = 0
Sample SD = 0.2081665999
Need a slower walkthrough, a related calculator, or the full library? These links keep you close to the task you started.
Quick answers about formulas, inputs, examples, result copying, and private in-browser history.
Standard deviation measures the typical distance between the data values and the mean. A small standard deviation means the values sit close together. A larger standard deviation means the values are more spread out.
Use sample standard deviation when your values are only part of a larger group, such as a survey sample or a few measurements from a process. Use population standard deviation when the list is the whole group you care about.
Data values are the numbers in one data set. Separate them with commas, spaces, or line breaks. Sample mode divides squared differences by n - 1. Population mode divides by n because your list is treated as the full group.
Read the standard deviation first, then compare it with the mean and the original units. Variance is the squared-unit spread number behind the standard deviation, and count shows how many valid values were included.
It finds the mean, subtracts the mean from each value, squares those differences, averages the squared differences with the selected sample or population denominator, then takes the square root.
Sample standard deviation divides by n - 1 to correct for estimating population spread from a sample. This is often called Bessel correction.
You can enter up to 1,000 values separated by commas, spaces, or new lines. Very long lists can be hard to review, so paste a smaller test set first when you are checking a new format.
Yes. Standard deviation is zero when every value in the data set is exactly the same.
Variance is the average squared distance from the mean. Standard deviation is the square root of variance, which brings the spread back toward the original unit scale.
Outliers can raise the standard deviation quickly because differences from the mean are squared before they are averaged. If one value is unusual, compare the result with and without that value before interpreting the spread.
No. This calculator measures spread for the values you enter. It does not prove the data is normally distributed, unbiased, representative, or ready for a research conclusion.
Check that all values belong to the same data set, the sample or population mode matches the problem, decimal points and negative signs pasted correctly, and the result is rounded to the precision your class, report, or spreadsheet expects.
Yes. Recent answers stay only in the current browser tab while you use the page. They are not sent to a server.